Abstract
Two NP-complete unweighted graph partitioning problems are considered: Simple Max Partitioning (SMP) and Uniform Graph Partitioning (UGP). For both problems, polynomial-time algorithms are available for special classes of graphs. In the present paper, the class of line-graphs is considered and a polynomial algorithm is proposed to solve both UGP and SMP in this class.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
C. Arbib: "A polynomial characterization of some graph partitioning problems"-Inf. Proc. Letters (1987/88) pp. 223–230.
L.W. Beineke: "Derived graphs of digraphs" in Beiträge zur graphentheorie, Sachs et al. eds. (Teubner, Leipzig 1978) pp. 17–33.
C. Berge: Graphes et Hypergraphes-(Dunod, Paris 1970).
M.W. Bern, E.L. Lawler, A.L. Wong: "Why certain subgraphs computations require only linear time"-Proc. of the 26th Ann. IEEE Symp. on Found. Comp. Sci.
M.R. Garey, D.S. Johnson: Computers and Intractability — A Guide through NP-completeness (W.H. Freeman & Co., S. Francisco, 1979).
M.R. Garey, D.S. Johnson, L. Stockmeyer: "Some simplified NP-complete graph problems"-Th. Comp. Sci. 1 (1976) pp. 240–243.
F. Harary: Graph Theory-(Addison Wesley, Reading, 1969) p. 81.
B.W. Kernighan, S. Lin: "An efficient heuristic procedure for partitioning graphs"-Bell Syst. Tech. J. 49, 2 (1970) pp. 292–307.
P.G.H. Lehot: An optimal algorithm to detect a line graph and output its root graph-J. ACM 21, 4 (1974) pp. 569–575.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1989 Springer-Verlag
About this paper
Cite this paper
Arbib, C. (1989). A polynomial algorithm for partitioning line-graphs. In: Simeone, B. (eds) Combinatorial Optimization. Lecture Notes in Mathematics, vol 1403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0083465
Download citation
DOI: https://doi.org/10.1007/BFb0083465
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-51797-9
Online ISBN: 978-3-540-46810-3
eBook Packages: Springer Book Archive